Estimation of predictive performance for test data in applicability domains using y‐randomization.
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- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3171
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- Publication type:
- Article
Works matching IS 08869383 AND DT 2019 AND VI 33 AND IP 9
Results: 8
1
2
Fault detection and classification with feature representation based on deep residual convolutional neural network.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3170
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- Publication type:
- Article
3
Topological characteristics of iterated line graphs in QSAR problem: Octane numbers of saturated hydrocarbons.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3169
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- Publication type:
- Article
4
Amplitude‐frequency images‐based ConvNet: Applications of fault detection and diagnosis in chemical processes.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3168
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- Publication type:
- Article
5
Quantum cascade laser back‐reflection spectroscopy at grazing‐angle incidence using the fast Fourier transform as a data preprocessing algorithm.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3167
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- Publication type:
- Article
6
A predictive model for the time dependence of concentrations in plating baths.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3166
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- Publication type:
- Article
7
How F and P values are influenced by centring.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3127
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- Publication type:
- Article
8
Issue Information.
- Published in:
- Journal of Chemometrics, 2019, v. 33, n. 9, p. N.PAG, doi. 10.1002/cem.3063
- Publication type:
- Article